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Agustin Calatroni

Principal statistician in NIAID-funded Statistical Coordinating Center at Rho since 2005, as such I design, implement, analyze and report on multicenter randomized, observational, and mechanistic clinical trial studies related to asthma, allergy, and immunology. Furthermore, I provide internal and industry sponsors statistical consulting on complex and novel statistical methodologies.

Education

M.S., Master of Statistics

North Carolina State University
Mu Sigma Rho Honors Society

Raleigh, NC

2002 - 2000

M.A., Masters en Sciences économiques

Université Paris 1 Panthéon-Sorbonne
Summa cum laude

Paris, France

1996 - 1995

B.S., Maîtrise en Sciences économiques

Université d’Aix-Marseille III
Summa cum laude

Aix-en-Provence, France

1995 - 1991

Baccalauréat en Sciences économiques

Lycée Franco-Argentin Jean Mermoz

Buenos Aires, Argentina

1991 - 1988

Industry Positions

Principal Statistical Scientist I

Rho, Inc.
(2017) Principal Statistical Scientist I
(2011) Statistical Scientist
(2005) Senior Biostatistician

Durham, NC

Current - 2005

Lead statistician on a broad-based number of projects including multiple protocol programs, providing input into study design, sample size calculations, and written statistical analysis plans.
Leads the development and review of statistical analysis, including tables, listings, and figures with continuous interactions among clients and regulatory agencies.
Serve as a lead consultant on both internally and externally high complexity statistical projects and statistical programming modeling with either SAS or R.
Expertise in multiple imputation, analysis of count data, linear mixed models, nonlinear mixed model and generalized (additive) mixed models.

Statistician

Center for Human Growth and Development
Univeristy of Michigan

Ann Arbor, MI

2005 - 2002

Statistical reports and displays for client projects, for presentation at meetings or conferences, and for publication in regulatory documents or professional journals.

Computer Support Specialist

SMT (SportsMEDIA Technology Corp)

Durham, NC

2002 - 1996

Data & Statistical Integration TV Graphics for auto racing
2000 EMMY winner ESPN Seedworld NASCAR coverage

Applied Economist

AMP Incorporated

Harrisburg, PA

2000 - 1998

Worked on the creation of a more accurate ways to forecast within the organization to maintain a methodical sales forecasting process by applying direct input from sales & marketing.

Teaching & Mentoring

I have been fortunate to have had exceptional mentorship in my profession. Mentoring is a critical element to nurture and grow a great collaborative problem-solving team. This cultivates an environment of continued education, growth, and leadership development. I had mentor members of our group on project guidance and statistical advice.

Industry Mentor

The Statistical and Applied Mathematical Sciences Institute (SAMSI) Industrial Math/Stat Modeling Workshop (IMSM)

Raleigh, NC

2020 - 2011

Objective is to expose graduate students in mathematics, engineering, and statistics to challenging and exciting real-world problems arising in industrial and government laboratory research.
Rho Participates in Innovative Graduate Student Workshop for the 8th Consecutive Timet
2019 Continuous glucose monitors (CGMs) w/ Functional Data Analysis

AAAAI NHLBI & NIAID Invited Course Faculty

Clinical Trial Designs to Predict Asthma Exacerbations

Atlanta, GA

2017

Discuss clinical trial designs that have identified predictive biomarkers for asthma medications
Discuss methods to identify prognostic predictors for asthma exacerbations with the goal of developing strategies to prevent them and to define the potential challenges of interpreting data for subpopulations in a clinical trial
Identify procedures, such as the microbiome analysis, that may vary in findings based on the age of the study participant

AstraZeneca-Sanger Drug Combination Prediction DREAM Challenge

Advancing Cancer Treatment with Artificial Intelligence

Workshop

2015

Open innovation competition hosted by Sage Bionetworks using crowdsourcing to identify new solutions to pressing pharmaceutical research and development challenges
Stacking models approach combining several machine learning techniques into one predictive model in order to decrease the variance (bagging), bias (boosting) and improve the predictive accuracy
Rho Innovation Award

AAAAI/NIEHS Invited Course Faculty

NHANES 2005-2006: Getting to Grips with the Big Data

San Diego, CA

2014

Interpret the role that allergen/endotoxin exposures and allergic sensitization play in allergic diseases
Apply new, standardized methods in indoor allergen assessment
Review strategic objectives of NHANES and the allergy component

Rho Wide Corporate Training

Visualizing Multivariate Data: Turning Information Into Understanding

Chapel Hill, NC

2013

Rho Presidential Award for Outstanding Innovation for statistical visualizations

Selected Data Science Writing

Our industry is driven by data. Every phase of our trials requires us to collect, monitor, analyze, and report data. While each of these steps is equally important, reporting is arguably the most impactful step. When we report data, we give them to key decision-makers and invite them to interpret the data and draw conclusions. As part of the Center for Applied Data Visualization I been researching and promoting the best practices and tools for visualizing and reporting data. As such, I developed dozens of novel graphics for both static reports and interactive web-based use.
Examples for data visualization and statistical graphics

Rho Graphics

Our data science team focuses on modernizing clinical trials using interactive statistical graphics. Almost everything we do is open source, so you can see our code on GitHub or use this site to explore our publications, interactive visualizations, data, and blog.

Website

Current - 2005

Visualization of The Museum of Modern Art (MoMA) Collection using Trelliscope

Scalable, flexible, interactive approach to visualizing data github

Blog

2018

The Future, Today: Artificial Intelligence Applications for Clinical Research

With Our Powers Combined: Using Predictive Analytics for Boosting Model Accuracy and Future Applications

Blog

2018

CRANsearcher

RStudio Addin for Searching Packages in CRAN Database Based on Keywords github

R Package

2017

The Development of Model Ensembles Using Cross Validation for Open Source Data Challenges

UseR conference github

Palo Alto, CA

2016

Estimation of the Correlation Coefficient with Left Censored and Repeated Measures Data

Joint Statistical Meetings

Denver, CO

2008

Generating Automated Dataset Summaries

Society for Clinical Trials Annual Meeting

Montreal, QC

2007

Selected Publications

Together as a team of investigators we are motivated by discovery and results to improve health, extend life, and enhance quality of life. We achieve this by helping our federal and academic clients run clinical trials and epidemiological studies, while also guiding them through complex complex and novel statistical methodology in manuscript writing, and presentations.

As a Principal Statistician for the Statistical and Clinical Coordinating Center at the Inner-City Asthma Consortium (ICAC), the Atopic Dermatitis Research Network (ADRN) and Immune Tolerance Network (ITN), I provide statistical expertise as well as scientific leadership in developing clinical trials to study asthma interventions, allergen immunotherapy and environmental exposures and their roles in allergy and asthma; translational research as well as the analysis of big omics-data.